cshjin / awesome-nonconvex-optimizationLinks
A collection of papers and readings for non-convex optimization
☆31Updated 6 years ago
Alternatives and similar repositories for awesome-nonconvex-optimization
Users that are interested in awesome-nonconvex-optimization are comparing it to the libraries listed below
Sorting:
- Repository for my convex optimization course.☆54Updated 4 years ago
- The MATLAB source code☆14Updated 5 years ago
- Benchmark for bi-level optimization solvers☆46Updated last month
- A MATLAB software for convex quadratic semidefinite programming☆13Updated 4 years ago
- A collection of stochastic proximal gradient methods for composite non-convex problems.☆20Updated 5 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 5 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- ☆11Updated 4 years ago
- Accompanying code for our NeurIPS 2019 paper☆11Updated 5 years ago
- ☆12Updated 2 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆28Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆72Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated last year
- Bi-level Optimization for Advanced Deep Learning☆46Updated 3 years ago
- Experiments for distributed optimization algorithms☆74Updated 2 years ago
- A generic optimization method for any integer programming problem☆90Updated 4 years ago
- Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …☆46Updated 6 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆38Updated 6 years ago
- [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization☆30Updated 4 years ago
- code to show F-Principle in the DNN training☆59Updated 2 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- ☆32Updated 2 years ago